Spectral methods for matrix product factorization

IF 1.1 3区 数学 Q1 MATHEMATICS Linear Algebra and its Applications Pub Date : 2025-03-15 Epub Date: 2025-01-10 DOI:10.1016/j.laa.2025.01.005
Saieed Akbari , Yi-Zheng Fan , Fu-Tao Hu , Babak Miraftab , Yi Wang
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Abstract

A graph G is factored into graphs H and K via a matrix product if there exist adjacency matrices A, B, and C of G, H, and K, respectively, such that A=BC. In this paper, we study the spectral aspects of the matrix product of graphs, including regularity, bipartiteness, and connectivity. We show that if a graph G is factored into a connected graph H and a graph K with no isolated vertices, then certain properties hold. If H is non-bipartite, then G is connected. If H is bipartite and G is not connected, then K is a regular bipartite graph, and consequently, n is even. Furthermore, we show that trees are not factorizable, which answers a question posed by Maghsoudi et al.
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矩阵乘积分解的光谱方法
如果分别存在G、H和K的邻接矩阵A、B和C,则图G通过矩阵积分解为图H和图K,使得A=BC。本文研究了图的矩阵积的谱方面,包括正则性、二分性和连通性。我们证明了如果图G被分解成一个连通图H和一个没有孤立顶点的图K,那么某些性质成立。如果H是非二部的,那么G是连通的。如果H是二部图,G不连通,则K是正则二部图,因此n是偶的。此外,我们证明了树是不可因式分解的,这回答了Maghsoudi等人提出的问题。
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
333
审稿时长
13.8 months
期刊介绍: Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.
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